AIMC Topic: Disease Outbreaks

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A multistage multimodal deep learning model for disease severity assessment and early warnings of high-risk patients of COVID-19.

Frontiers in public health Nov 22, 2022
The outbreak of coronavirus disease 2019 (COVID-19) has caused massive infections and large death tolls worldwide. Despite many studies on the clinical characteristics and the treatment plans of COVID-19, they rarely conduct in-depth prognostic resea...
Disease Outbreaks Deep Learning Patient Acuity Patients Humans COVID-19
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A deep learning approach to real-time HIV outbreak detection using genetic data.

PLoS computational biology Oct 14, 2022
Pathogen genomic sequence data are increasingly made available for epidemiological monitoring. A main interest is to identify and assess the potential of infectious disease outbreaks. While popular methods to analyze sequence data often involve phylo...
Humans Disease Outbreaks HIV Infections Europe HIV-1 Phylogeny Deep Learning
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Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks.

Nature communications Jul 6, 2022
Widely applicable, accurate and fast inference methods in phylodynamics are needed to fully profit from the richness of genetic data in uncovering the dynamics of epidemics. Standard methods, including maximum-likelihood and Bayesian approaches, gene...
Deep Learning Bayes Theorem Humans Computer Simulation Disease Outbreaks Male Phylogeny
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Accurate virus identification with interpretable Raman signatures by machine learning.

Proceedings of the National Academy of Sciences of the United States of America Jun 2, 2022
Rapid identification of newly emerging or circulating viruses is an important first step toward managing the public health response to potential outbreaks. A portable virus capture device, coupled with label-free Raman spectroscopy, holds the promise...
Neural Networks, Computer Machine Learning Serogroup Pandemics Viruses Disease Outbreaks
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A Novel Approach on Deep Learning-Based Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMs' Effect over COVID-19 Pandemic.

International journal of environmental research and public health Jun 1, 2022
Following the outbreak of the COVID-19 pandemic, the continued emergence of major variant viruses has caused enormous damage worldwide by generating social and economic ripple effects, and the importance of PHSMs (Public Health and Social Measures) i...
Humans Pandemics Deep Learning COVID-19 Disease Outbreaks
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COVID-19 Spatio-Temporal Evolution Using Deep Learning at a European Level.

Sensors (Basel, Switzerland) May 11, 2022
COVID-19 evolution imposes significant challenges for the European healthcare system. The heterogeneous spread of the pandemic within EU regions elicited a wide range of policies, such as school closure, transport restrictions, etc. However, the impl...
Disease Outbreaks Deep Learning Humans Pandemics COVID-19 Delivery of Health Care
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Predicting diarrhoea outbreaks with climate change.

PloS one Apr 19, 2022
BACKGROUND: Climate change is expected to exacerbate diarrhoea outbreaks across the developing world, most notably in Sub-Saharan countries such as South Africa. In South Africa, diseases related to diarrhoea outbreak is a leading cause of morbidity ...
Diarrhea Climate Change Machine Learning Humans Disease Outbreaks Neural Networks, Computer
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Identifying COVID-19 Outbreaks From Contact-Tracing Interview Forms for Public Health Departments: Development of a Natural Language Processing Pipeline.

JMIR public health and surveillance Mar 8, 2022
BACKGROUND: In Wisconsin, COVID-19 case interview forms contain free-text fields that need to be mined to identify potential outbreaks for targeted policy making. We developed an automated pipeline to ingest the free text into a pretrained neural lan...
Natural Language Processing Contact Tracing Public Health Disease Outbreaks COVID-19 Humans SARS-CoV-2
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Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control.

PloS one Dec 9, 2021
Studies have shown that areas with lower socioeconomic standings are often more vulnerable to dengue and similar deadly diseases that can be spread through mosquitoes. This study aims to detect water tanks installed on rooftops and swimming pools in ...
Swimming Pools Unmanned Aerial Devices Socioeconomic Factors Mosquito Control Humans Disease Outbreaks Remote Sensing Technology Seasons Mosquito Vectors Animals Deep Learning Aedes Dengue
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COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks.

Frontiers in public health Nov 30, 2021
The presented deep learning and sensor-fusion based assistive technology (Smart Facemask and Thermal scanning kiosk) will protect the individual using auto face-mask detection and auto thermal scanning to detect the current body temperature. Furtherm...
Deep Learning Masks Humans Algorithms COVID-19 Disease Outbreaks
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